Human Emotion Detection using Machine Learning Techniques

7 Pages Posted: 30 May 2020

See all articles by Punidha Angusamy

Punidha Angusamy

Coimbatore Institute of Technology

Inba S

affiliation not provided to SSRN

Pavithra K.S

affiliation not provided to SSRN

Ameer Shathali M

affiliation not provided to SSRN

Athiparasakthi M

affiliation not provided to SSRN

Date Written: May 2, 2020

Abstract

Image processing is a method to convert an image into digital form and perform some operations on it. This is done to enhance the image or to extract useful information from it. Facial expressions are nonverbal form of communication. There are eight universal facial expressions which include: neutral, happy, sadness, anger, contempt, disgust, fear, and surprise. So it is very important to detect these emotions on the face. A monitoring system for elderly people which is based on technology involving recognizing emotions from video image. Our proposed system includes video analysis technology which includes the data from video is adopted to realize monitoring elders' living conditions in real time. In case of emergency, the system will alert their relatives and children by sending a message.

Suggested Citation

Angusamy, Punidha and S, Inba and K.S, Pavithra and M, Ameer Shathali and M, Athiparasakthi, Human Emotion Detection using Machine Learning Techniques (May 2, 2020). Available at SSRN: https://ssrn.com/abstract=3591060 or http://dx.doi.org/10.2139/ssrn.3591060

Punidha Angusamy (Contact Author)

Coimbatore Institute of Technology ( email )

Coimbatore
India
737384184 (Phone)

Inba S

affiliation not provided to SSRN

Pavithra K.S

affiliation not provided to SSRN

Ameer Shathali M

affiliation not provided to SSRN

Athiparasakthi M

affiliation not provided to SSRN

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